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Russell G. Heikes

Researcher at Georgia Institute of Technology

Publications -  14
Citations -  326

Russell G. Heikes is an academic researcher from Georgia Institute of Technology. The author has contributed to research in topics: Control chart & Shewhart individuals control chart. The author has an hindex of 8, co-authored 14 publications receiving 317 citations.

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Proceedings ArticleDOI

Effectiveness of a graphical display of retrieval results

TL;DR: The design of a visualization tool that graphically displays the strength of query concepts in the retrieved documents aids the user in accurately identifying relevant documents and has evidence to believe that appropriately designed graphical displays can enable users to better interact with the system.
Journal ArticleDOI

Economic Design of Fraction Defective Control Charts

TL;DR: In this article, an expected cost model for the fraction defective control chart for the case where there are several out-of-control states is developed, and a procedure is presented for determining the sample size, control limit or critical region, and interval between samples which minimizes the expected cost of control per unit of product.
Journal ArticleDOI

Economic design of X control charts for two manufacturing process models

TL;DR: It is shown that the choice of the proper manufacturing process model is critical because selection of an inappropriate process model may result in significant economic penalties.
Journal ArticleDOI

Process failure mechanisms and optimal design of fraction defective control charts

TL;DR: In this article, the authors studied various probability models for the duration of the process in the in-control state in the economic design of control charts, using both a discrete-time Markov model and two non-Markov models.
Journal ArticleDOI

Alternative Process Models in the Economic Design of T2 Control Charts

TL;DR: In this paper, the use of three probability distributions to model the time to failure in an economic model of a multivariate quality control procedure is investigated, using a discrete-time Markov (geometric) model and two non-Markovian (Poisson and logarithmic series) models.